Dan O'meara
Engineering Manager at YouTube
San Anselmo, California, United States
Summary
🤩
Rockstar🎓
Top SchoolDan O'meara is an engineering manager with over a decade of experience leading product-driven teams at Google and YouTube, blending program and project management rigour with hands-on developer empathy. He builds empowered teams that deliver developer-facing systems and improves usability—evidenced by contributions to the widely used google-cloud-python client library where he improved documentation and stewarded beta API releases. With a background in electronic engineering and a near-perfect MS in Computer Science from UPenn, he combines deep technical foundations with large-scale program leadership across telecom, energy, and cloud platforms. Known for operational discipline and data-informed decision making, he has repeatedly run complex, safety-critical field programs and transitioned those execution skills into shipping reliable developer tools at scale.
10 years of coding experience
18 years of employment as a software developer
BE, Electronic Engineering, Hons, BE, Electronic Engineering, Hons at University College DublinLeaving certificate, Physics, Chemistry, Applied Mathematics, German, Hons, Leaving certificate, Physics, Chemistry, Applied Mathematics, German, Hons at Cistercian College RoscreaMaster's degree, Computer Science, 3.91/4.0, Master's degree, Computer Science, 3.91/4.0 at University of Pennsylvania
Stackoverflow
133reputation
2kreached
13answers
1question
Github Skills (16)
google-cloud-platform10
python10
documentation10
gcp10
api9
apim9
rest-api8
api-rest8
restful-api8
api-design8
delimiter6
character-encoding6
docker6
csv6
google-api6
Programming languages (14)
Github contributions (5)
googleapis/google-cloud-python
Jul 2017 - Oct 2020
Google Cloud Client Library for Python
Role in this project:
Back-end Developer
Back-end DeveloperContributions:1 review, 17 commits, 20 PRs in 3 years 3 months
Contributions summary:Dan primarily contributed to the documentation and beta release of various Google Cloud APIs, specifically focusing on their integration within the Google Cloud Python client library. They added new APIs to the README files, such as Google Cloud Video Intelligence and Memorystore for Redis. The user also updated the development status of several APIs to "Beta" and fixed broken links within documentation, demonstrating a focus on improving the usability and accessibility of the client library.
gcpappenginepythongoogleclient-library
danoscarmike/aqipy
Nov 2018 - Aug 2020
A simple command line tool to check the air quality index at your location or around the world
Contributions:3 releases, 33 commits, 6 PRs in 1 year 9 months
command-line-toolindexair-quality-indexair-qualityair
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